Retention and Cohort Analysis Walkthrough
Understand whether users stay.
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Walk me through retention analysis. Product and what counts as active: [PRODUCT_ACTIVE]. Data fields available: [DATA_FIELDS]. Period: [PERIOD]. Define cohorts and retention measures (day N, week N, rolling). Show how to build a cohort table with example calculations from sample numbers that you label as illustrative. Explain how to read curves (flattening versus decay) and how to compare cohorts by acquisition source. Identify pitfalls such as survivor bias and seasonality. Propose three analyses to answer my questions, with the output format of each, and recommendations for actions that follow different patterns. Add a step-by-step spreadsheet plan for computing retention with columns and formulas described in words, and a checklist of the questions to ask when a cohort looks very different from earlier ones. Include a short note on comparing products with different usage frequencies and on what counts as a meaningful retention improvement for my situation. Also add a short list of what retention cannot tell me and which other analyses to pair it with.
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